There are also two state-of-the-art (SOTA) methods that do not belong to the mentioned categories of methods. TSP [1]} proposed a novel supervised pretraining paradigm for clip features, and improved the performance of SOTA using features trained with the proposed pretraining strategy. Liu et al. in [2]} leverages temporal aggregation to improve the feature discriminative power of each snippet and enhance the feature coherence within a single instance.
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